Application of the Association Rule in Online Stores Using Apriori Algorithm for Product Recommendations at Promotional Events

People now regard online shopping to be a necessity. Many online shops fail because of fierce competition and poor sales strategies. This study uses Fawazz Shop transaction history data. This study aims to recommend goods for Fawazz store promotion events. The Association Rule of apriori methods on data mining was used in this research to determine the structure of links between goods, data processing using Ms. Excel, Rapid Miner 9.1 Software, and Testing using Python. This study's results show three association rule rules using minimum support of 10% and minimum confidence of 50%, namely a combination of iron ear match items and blackhead tweezers with a support value of 30.4%, a confidence value of 74.7^%, a combination of amplifier antenna items and digital antennas with a support value of 23.5%, a confidence value of 61.2%, and a combination of iron ear match items and digital antennas. The results of this model can be used to recommend goods at promotional events.